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Clinic-radiological features and radiomics signatures based on Gd-BOPTA-enhanced MRI for predicting advanced liver fibrosis

  • Magnetic Resonance
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To develop and validate a combined model based on Gd–BOPTA-enhanced MRI to identify advanced liver fibrosis.

Methods

A total of 102 patients with chronic HBV infection were divided into a training cohort (n = 80) and a time-independent testing cohort 1 (n = 22). In the training cohort, radiomics signatures were extracted from the hepatobiliary phase. Model 1 was constructed with clinic-radiological factors using multivariable logistic regression to predict advanced liver fibrosis, and model 2 incorporated radiomics signatures based on model 1. The diagnostic performances were compared with serum fibrosis tests and FibroScan tests using area under curve (AUC) in testing cohort 1. Another 45 patients with other causes were collected in testing cohort 2 for further validation.

Results

Model 1 showed age (OR = 1.079) and periportal space widening (OR = 7.838) were the independent factors for predicting advanced fibrosis. After integrating radiomics signatures, model 2 enabled more accurately than model 1 in training cohort (0.940 vs. 0.802, p = 0.003). In testing cohort 1, model 2 demonstrated a superior AUC compared with model 1 (0.900 vs. 0.813，p = 0.131), FibroScan test (0.900 vs. 0.733, p = 0.193), and serum fibrosis tests (APRI and Fib-4 was 0.667 and 0.791). In testing cohort 2, model 2 incorporating radiomics signatures showed satisfactory performance (0.874 vs. 0.757，p = 0.010) compared with model 1.

Conclusions

Radiomics signatures derived from Gd-BOPTA–enhanced HBP images may offer complementary information to the clinic-radiological model for predicting advanced liver fibrosis.

Key Points

• Linear or reticular hyperintensity on T2WI, periportal space widening, and diffuse periportal enhancement on HBP can be useful for predicting advanced liver fibrosis.

• Clinic-radiological features such as patient age and periportal space widening are the two independent factors predicting advanced fibrosis.

• Radiomics signatures derived from Gd-BOPTA-enhanced HBP images offer complementary information to the clinic-radiological model for predicting advanced liver fibrosis.

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Abbreviations

ALT:

Alanine aminotransferase

APRI:

Aspartate transaminase–to-platelet ratio index

AST:

Aspartate transaminase

AUC:

Area under the curve

DWI:

Diffusion-weighted imaging

Fib-4:

Fibrosis-4 index

FOV:

Field of view

Gd-BOPTA:

Gadobenate dimeglumine

Gd-EOB-DTPA:

Gadolinium-ethoxybenzyl-diethylenetriamine

HBP:

Hepatobiliary phase

HBV:

Hepatitis B virus

ICC:

Inter-correlation coefficient

MAFLD:

Metabolic-associated fatty liver disease

MRE:

MR elastography

MRI:

Magnetic resonance imaging

PT:

Prothrombin time

PVP:

Portal venous phase

ROI:

Regions of interest

TBIL:

Total bilirubin

TE:

Echo time

TR:

Repetition time

UE:

Ultrasound-based elastography

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Funding

This study has received funding from the Scientific Research Project from the Education Department of Fujian Province (JAT200167)

Author information

Author notes

  1. Wanjing Zheng

    Present address: Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, 350005, Fujian, China

Authors and Affiliations

  1. Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, 350005, Fujian, China

    Wei Guo, Meilian Xiong, Xiaodan Chen, Lanmei Gao & Dairong Cao

  2. MR Scientific Marketing, Siemens Healthineers Ltd., Shanghai, China

    Yang Song

  3. Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China

    Dairong Cao

  4. Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, China

    Dairong Cao

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  1. Wanjing Zheng
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Corresponding author

Correspondence to Dairong Cao.

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The scientific guarantor of this publication is Prof. Dairong Cao, MD, The First Affiliated Hospital of Fujian Medical University.

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The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

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Zheng, W., Guo, W., Xiong, M. et al. Clinic-radiological features and radiomics signatures based on Gd-BOPTA-enhanced MRI for predicting advanced liver fibrosis. Eur Radiol 33, 633–644 (2023). https://doi.org/10.1007/s00330-022-08992-0

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  • DOI: https://doi.org/10.1007/s00330-022-08992-0

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